基于单频星载GPS数据的周跳探测方法

发布时间：2018-02-02 10:21

本文关键词： 星载单频数据周跳探测最小二乘假设检验　出处：《测绘地理信息》2016年04期 　论文类型：期刊论文

【摘要】：在星载GPS测量中,载波相位观测数据的周跳探测是实现低轨卫星高精度定轨的关键,而传统的周跳探测方法受低轨卫星轨道特性的影响并不能很好地处理星载GPS数据。在总结传统周跳探测方法的基础上研究了一种利用最小二乘及假设检验的周跳探测方法,该方法采用历元间载波相位差分观测值构建观测方程,利用最小二乘求解并建立周跳检测量,根据假设检验探测周跳,适用于采样率较高条件下的单频星载GPS载波相位数据的周跳探测。以实测星载GPS数据周跳探测试验验证了该方法的有效性,试验结果表明,当可观测的GPS卫星数大于5颗时,该方法能够探测出1周左右的周跳,并确定发生周跳的卫星。
[Abstract]:In spaceborne GPS measurement, the cycle slip detection of carrier phase observation data is the key to achieve high precision orbit determination of Leo satellite. However, the traditional cycle slip detection method is not able to deal with spaceborne GPS data well due to the orbit characteristics of Leo satellites. Based on the summary of traditional cycle slip detection methods, a new method based on least squares and hypothesis test is proposed. Cycle slip detection. In this method, the observation equation is constructed by the carrier phase difference observation value between epochs, and the cycle slip detection is established by using the least square method, and the cycle slip is detected according to the hypothesis test. It is suitable for cycle slip detection of single frequency spaceborne GPS carrier phase data under higher sampling rate. The validity of this method is verified by the cycle slip detection test of spaceborne GPS data. The experimental results show that the proposed method is effective. When the number of observable GPS satellites is more than 5, the method can detect the cycle slip of about one week and determine the satellite in which the cycle slip occurs.
【作者单位】：武汉大学测绘学院;
【分类号】：P228.4
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